Antimicrobial prescription pattern and appropriateness for respiratory tract infection in outpatients: a systematic review and meta-analysis.

BACKGROUND: Millions of people die every year as a result of antimicrobial resistance worldwide. An inappropriate prescription of antimicrobials (e.g., overuse, inadequate use, or a choice that diverges from established guidelines) can lead to a heightened risk of antimicrobial resistance. This study aimed to determine the rate and appropriateness of antimicrobial prescriptions for respiratory tract infections. METHODS: This review was conducted in accordance with the PRISMA guidelines. Web of Science, PubMed, ProQuest Health and Medicine, and Scopus were searched between October 1, 2023, and December 15, 2023, with no time constraints. Studies were independently screened by the first author and the co-authors. We included original studies reporting antimicrobial prescription patterns and appropriateness for respiratory tract infections. The quality of included studies' was assessed via the Joanna Briggs Institute's Critical Appraisal Checklists for Cross-Sectional Studies. The assessment of publication bias was conducted using a funnel plot and Egger's regression test. A random effect model was employed to estimate the pooled antibiotic prescribing and inappropriate rates. Subgroup analysis was conducted by country, study period, data source, and age group. RESULTS: Of the total 1220 identified studies, 36 studies were included in the review. The antimicrobial prescribing rate ranged from 25% (95% CI 0.24-0.26) to 90% (95% CI 0.89-0.91). The pooled antimicrobial prescription rate was 66% (95% CI 0.57 to 0.73). Subgroup analysis by region revealed that the antimicrobial prescription rate was highest in Africa (79%, 95% CI 0.48-0.94) and lowest in Europe (47%, 95% CI 0.32-0.62). Amoxicillin and amoxicillin-clavulanate antimicrobials from the Access group, along with azithromycin and erythromycin from the Watch group, were the most frequently used antimicrobial agents. This study revealed that the major reasons for antimicrobial prescription were acute bronchitis, pharyngitis, sinusitis, and the common cold. The pooled inappropriate antimicrobial prescription rate was 45% (95% CI 0.38-0.52). Twenty-eight of the included studies reported that prescribing antimicrobials without proper indications was the main cause of inappropriate antimicrobial prescriptions. Additionally, subgroup analysis by region showed a higher inappropriate antimicrobial prescription rate in Asia at 49% (95% CI 0.38-0.60). The result of the funnel plot and Egger's tests revealed no substantial publication bias (Egger's test: p = 0.268). CONCLUSION: The prescribing rate and inappropriate use of antimicrobials remain high and vary among countries. Further studies should be conducted to generate information about factors contributing to unnecessary antimicrobial prescriptions in outpatients. SYSTEMATIC REVIEW REGISTRATION: Systematic review registration: CRD42023468353.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review.

BACKGROUND: Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings. METHODS: This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies. RESULTS: Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability. CONCLUSION: Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.